gee-46/-Disaster-VQA-Response-System
"An adaptable, AI-powered Disaster VQA system that performs real-time visual assessment of disaster imagery. By defaulting to the highly efficient BLIP model for rapid inference—while maintaining full architectural support for massive Vision-Language Models like LLaVA/Qwen-VL—it delivers contextual answers and confidence scores to accelerate emerge
ORIGINAL REPOSITORY
gee-46/-Disaster-VQA-Response-System ↗GitHub activity
- Stars
- 9
- Forks
- 0
- Open issues and PRs
- 0
- Repository size
- ~19 KB
- Default branch
- main
- Created
- Feb 28, 2026
- Repository updated
- Aug 23, 2026
- Last push
- Mar 15, 2026
- Language
- CSS
- License
- Apache-2.0
Topics deep-learning · machine-learning · machine-learning-algorithms · ollama · opencv · python · qwen2-5 · vibe-coding
Repository-wide figures from GitHub, checked Nov 6, 2026. Stars are endorsements, not a Mega AI Hub quality rating. Repository size is GitHub’s estimate; a ZIP download may differ.
Resource information
- Original repository
- gee-46/-Disaster-VQA-Response-System
- Credit basis
- GitHub repository owner or organization; individual authorship is not asserted
- Publisher
- gee-46
- Upstream last modified
- Aug 23, 2026
- Official website
- https://github.com/gee-46/-Disaster-VQA-Response-System
- Languages
- CSS
- Access
- Open original GitHub repository; publisher terms apply
- Last checked
- Nov 6, 2026
- License
- Apache-2.0
- Last record update
- Nov 6, 2026